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langchain/templates/rag-pinecone-rerank
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David Duong d39b4b61b6
Batch apply poetry lock --no-update for all templates (#12531) 
Ran the following bash script for all templates

```bash
#!/bin/bash

set -e
current_dir="$(pwd)"
for directory in */; do
    if [ -d "$directory" ]; then
        (cd "$directory" && poetry lock --no-update)
    fi
done

cd "$current_dir"
```

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-10-30 15:18:53 -07:00
..
rag_pinecone_rerank Format Templates (#12396) 2023-10-26 19:44:30 -07:00
tests
LICENSE
poetry.lock Batch apply poetry lock --no-update for all templates (#12531) 2023-10-30 15:18:53 -07:00
pyproject.toml Minor updates to ReRank template (#12388) 2023-10-26 16:05:17 -07:00
rag_pinecone_rerank.ipynb notebook fmt (#12498) 2023-10-29 15:50:09 -07:00
README.md

README.md

RAG Pinecone Cohere Re-rank

This template performs RAG using Pinecone and OpenAI, with Cohere to perform re-ranking on returned documents.

Re-ranking provides a way to rank retrieved documents using specified filters or criteria.

Pinecone

This connects to a hosted Pinecone vectorstore.

Be sure that you have set a few env variables in chain.py:

  • PINECONE_API_KEY
  • PINECONE_ENV
  • index_name

LLM

Be sure that OPENAI_API_KEY is set in order to the OpenAI models.

Cohere

Be sure that COHERE_API_KEY is set in order to the ReRank endpoint.